We are thrilled to unveil palmer-004, the fourth iteration in our esteemed palmer series, designed to push the boundaries of performance and context window capacity. Merging the best of palmer-003 with the expansive capabilities of palmer-002-32k, palmer-004 is a testament to the power of merging similar trained models, think of it as palmer-003 with 32k context with minimal performance degradation.
Model
MMLU
ARC-C
HellaSwag
PIQA
Winogrande
tinyllama-3t
0.2577
0.3029
0.5935
0.7329
0.5959
palmer-003
0.2523
0.3439
0.6208
0.7524
0.6590
palmer-004
0.2601
0.3456
0.6138
0.7443
0.6511
Crafted using the TIES merge method, palmer-004 elevates its predecessor's prowess to a remarkable 32k context window without needing to train on additional data. This model doesn't just aim to match; it surpasses, outperforming the current state-of-the-art coven_tiny_1.1b_32k_orpo_alpha on several benchmarks. As of June 1, 2024, palmer-004 stands as the 2nd best 1b overall model as well as the best 32k 1B model to fine-tune from on Hugging Face, setting a new standard for excellence in the open-source AI community.
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that uses language models. Still in beta but super cool still.
Runs of appvoid palmer-004-original on huggingface.co
19
Total runs
6
24-hour runs
5
3-day runs
5
7-day runs
4
30-day runs
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